
Resilient Cloud Engineer
1 day ago
Cloud Native Engineer
You will be responsible for designing and building resilient, scalable, and automated cloud environments using AWS Cloud.
Key Responsibilities:- Architect and implement secure, cost-efficient, and high-performing AWS infrastructure (EC2, Lambda, EKS, S3, RDS, IAM, CloudFront).
- Automate infrastructure provisioning and configuration using Terraform/CloudFormation and AWS SDKs.
- Manage containerized workloads (Docker, Kubernetes, EKS).
- Build automation scripts, deployment utilities, and infrastructure tooling using Python (Boto3, Flask, FastAPI).
- Develop custom monitoring/alerting integrations with APIs, SDKs, and third-party observability platforms.
- Implement self-healing and resilience-focused automation scripts.
- Design and execute chaos experiments to validate system resilience.
- Use tools like Gremlin, Litmus, Chaos Mesh, or AWS Fault Injection Simulator.
- Partner with SRE and development teams to define SLIs, SLOs, and error budgets.
- Document learnings from chaos tests and improve incident response and recovery playbooks.
- Build and maintain CI/CD pipelines for automated deployments (Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline).
- Integrate observability frameworks (Prometheus, Grafana, ELK/EFK, CloudWatch, Datadog) for monitoring and tracing.
- Ensure proactive alerting and real-time visibility into system health.
- Apply AWS security best practices for IAM, networking, and data protection.
- Ensure compliance with internal and external regulatory frameworks.
Required Skills & Qualifications:
- 6-10 years of experience in Cloud, DevOps, or SRE roles.
- Strong hands-on expertise in AWS Cloud (certifications preferred: AWS DevOps Engineer/Solutions Architect).
- Advanced Python development skills for automation and tooling (Boto3 a must).
- Experience designing and running chaos experiments (Gremlin, AWS FIS, Litmus, Chaos Mesh, or custom Python-based fault injection).
- Solid knowledge of IaC (Terraform/CloudFormation).
- Proficiency in containers & orchestration (Docker, Kubernetes, EKS).
- Strong background in monitoring, observability, and incident management.
- Familiarity with DevOps toolchain (CI/CD, Git, Jenkins, GitLab, CodePipeline).
- Good understanding of resilient architectures, reliability principles, and disaster recovery.
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